TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Santiago del Estero vs Santa Fe
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What is the result of Santiago del Estero vs Santa Fe?

Volume:
$8,085

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 11, 2026

Closed: Oct 11, 4:56 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$3,930
N/A
N/A
$3,920
Settled
Yes
kalshi

Santiago del Estero

0%
Yes 0¢No 100¢
—
N/A
$2,284
N/A
N/A
$2,008
Settled
No
kalshi

Santa Fe

0%
Yes 0¢No 100¢
—
N/A
$1,871
N/A
N/A
$1,520
Settled
No
Total markets: 3

Description

This event tracks the outcome of an Argentine Nacional B soccer match between Santiago del Estero and Santa Fe. The result will be determined based on the final score after 90 minutes plus stoppage time, excluding extra time or penalty kicks. Markets will reflect whether either team wins or if the game ends in a tie.

Kalshi

The event resolves based on the result of the Santiago del Estero vs Santa Fe professional Argentine Nacional B soccer game scheduled for October 11, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome occurs if the specified team wins within regular time; a tie results in the 'Tie' market resolving to 'Yes'. If the match is cancelled or rescheduled to more than 48 hours later, the markets will resolve to a fair price. Extra time and penalty kicks do not affect the resolution.

Frequently asked questions

On Kalshi, the dashboard for the Argentinian soccer match tracks the current odds, price history, and 24-hour trading volume. You can view how the market is pricing the outcome of this event in real-time. Currently, the total volume traded is $8,085, with $7,577 traded in the last 24 hours. This provides insight into how traders are positioning themselves ahead of the match. The dashboard is a central location to monitor the market’s activity and potential shifts in sentiment.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those offered by traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by individuals willing to put their capital behind their beliefs. It’s common to see discrepancies, especially when there’s significant public interest or disagreement about the likely outcome. These differences can present opportunities for arbitrage, where traders attempt to profit from the price variations between the two.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust accordingly, providing a dynamic assessment of the event’s potential results. The market depth and trading volume indicate the level of confidence and interest in each possible outcome.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Argentinian soccer match between Santiago del Estero and Santa Fe, as reported by a recognized sports authority. The platform will verify the result against these sources to determine the winning outcome and settle the contracts accordingly. Traders should monitor official sources for updates as the resolution date approaches.

Several factors could influence the trading activity in this market. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly shift the perceived probabilities. Weather conditions on match day, particularly if they favor one team’s playing style, could also be a catalyst. Public sentiment, reflected in social media and sports news, can also impact trading volume and price movements. Finally, any late-breaking information about team morale or strategic adjustments could influence traders’ decisions.